A Novel Image Noise Smoothing Method Based on High Order Statistics
一种基于高阶统计量的图象平滑去噪法

Informations are playing more and more important role in our life. Most of them are images. However, many kinds of noise will occur during image generation, communication and transformation, and will affect the image quality. By using image-smoothing technique, the noise can be dwindled, but some image details and value information are also lost while the dwindling noise by using the most used traditional smoothing methods. For solving this problem, a novel image noise smoothing method based on high order statistics has been proposed in this paper. It uses the property that high order statistics are not sensitive to Gauss noise to process image-smoothing, and can mostly save the image details while greatly dwindling noise. Experimental results have shown the effectiveness of the proposal scheme, the experimental image quality has been improved about 1.7dB compared with the image processed by other method.